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Valentin De Bortoli

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • stat.ML1
ORCID 0000-0002-7163-5391
same name
  • Valentin De Bortoli — 45 papers, h 25
  • Valentin De Bortoli — 14 papers, h 5
  • Valentin de Bortoli — 1 paper
  • Valentin De Bortoli — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedUnbalanced Diffusion Schrödinger Bridge

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2025

Dimension-free error estimate for diffusion model and optimal scheduling

Valentin de Bortoli, Romuald Elie, Anna Kazeykina +2

Diffusion generative models have emerged as powerful tools for producing synthetic data from an empirically observed distribution. A common approach involves simulating the time-re…

cs.LG2025★ 1 cited

Distributional Diffusion Models with Scoring Rules

Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli +4

Diffusion models generate high-quality synthetic data. They operate by defining a continuous-time forward process which gradually adds Gaussian noise to data until fully corrupted.…

cs.LG2025

Accelerated Diffusion Models via Speculative Sampling

Valentin De Bortoli, Alexandre Galashov, Arthur Gretton +1

Speculative sampling is a popular technique for accelerating inference in Large Language Models by generating candidate tokens using a fast draft model and accepting or rejecting t…

cs.LG2023★ 1 cited

Unbalanced Diffusion Schrödinger Bridge

Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne +2

Schrödinger bridges (SBs) provide an elegant framework for modeling the temporal evolution of populations in physical, chemical, or biological systems. Such natural processes are c…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.